Data science addresses emerging challenges in agriculture, migration, poverty, and other socioeconomic issues by using technologies like artifical intelligence and remote sensing to analyze large datasets. It helps in decision-making by enabling the development of more effective policies and solutions for sustainable development
Available online courses on the use of remote sensing
Big Data Analytics in Agriculture and Seaports
This SSTA analyzes climate change impacts on agriculture and food security, and assesses human activities (e.g., seaport development) on coastal environments. Using data modeling and non-traditional data sources, it will develop agricultural adaptation strategies and identify coastal water quality indicators. The findings will support policymakers in addressing climate and ocean health challenges. Aligned with ADB’s climate goals, this research aims to enhance sustainability in DMCs.
Super-resolution Satellite Imagery as a Regional Public Good for Sustainable Development
The TA will generate knowledge to: (i) develop a regional public good comprising an open-source method of deriving high-resolution (super- resolved) satellite imagery, and (ii) demonstrate how these images can be used to assess policy- relevant use-cases such as monitoring the green transition over time or assessing the quality of infrastructure
Leveraging Big Data for Inclusive Policy Development: Alternative Tools for Monitoring Vulnerable Populations
© 2024 Asian Development Bank. Terms of Use
ADB encourages websites and blogs to link to its web pages.